David Quintana
Postdoctoral Researcher at EPFL
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolDavid Quintana is a postdoctoral researcher and embedded systems specialist with a decade of experience focused on domain-specific accelerators for resource-constrained platforms. Based at EPFL’s Embedded Systems Lab after a PhD at Universidad Complutense de Madrid and an MSc from KTH, he bridges academic research and practical acceleration techniques for deep neural networks. His trajectory includes visiting researcher roles and hands-on industry experience building automation modules at Indra, demonstrating fluency across hardware-aware software and system integration. Collected expertise in computer architecture, embedded ML acceleration, and teaching punctuates a profile that combines rigorous theory with applied engineering. Notably, his work blends cross-country research exposure between Spain and Switzerland, reflecting both collaborative breadth and a bent for translating research prototypes into deployable accelerator solutions.
10 years of coding experience
1 year of employment as a software developer
KTH Royal Institute of TechnologyDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Universidad Complutense de Madrid
English, French, Spanish
Github Skills (40)
chessboard10
convolutional-neural-networks10
risc-v10
cpu10
integer-arithmetic10
digital-signal-processing10
digitization10
chess10
interval-arithmetic10
onnxruntime10
fpga10
fen10
nvidia-jetson-nano10
arbitrary-precision10
signal-processing9
Programming languages (8)
Github contributions (5)
davidmallasen/LiveChess2FEN
Jun 2020 - Jun 2022
Predict live chess games into FEN notation.
Contributions:1 release, 55 reviews, 49 commits in 2 years 1 month
gameschessboardfennotationdigitization
davidmallasen/PlantillasLaTeX
Mar 2018 - May 2023
Contributions:12 pushes, 2 branches in 5 years 2 months
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